Production Data Analysis of Shale Gas Wells with Abrupt Gas Rate or Pressure Changes

Pang Wei, Juan Du, Tongyi Zhang
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引用次数: 1

Abstract

Production data analysis (PDA) by using rate normalized pressure (RNP) and rate normalized pressure derivative (RNP’) is useful for transient rate and pressure analysis of shale gas wells with constant or smooth changing gas rate and pressure. However, some reasons may cause abrupt changes, fluctuation, or even loss of production data. The existing PDA methods can not well address this kind of issue. The paper analyzes the reasons that cause big changes of shale gas production rate and pressure. The reasons include well-interference, well shut-ins, and converting production from casing to tubing. Typical shale gas well cases in China are described. Three methods are proposed to address the non-smooth production data issue. For shale gas wells with severe well-interference from neighbouring fracturing wells or production wells, the segmented production data before well-interference is suggested as well-interference is like an imposed negative or positive force from outside, and this force disturbs the normal production performance only rely on the well's own energy. For wells with frequent shut-ins, a virtual equivalent time method is referenced. The process for this method firstly calculates the formation pressure distributions and the average formation pressures within the SRV area; sencondly, calculate the virtual equivalent time by use of the average formation pressure; thirdly, divided the whole production data into several interconnected segments by rearrange the vitual euivalent time into the actual time axis, and finally do the analysis by using the log-log plot of pressure and pressure derivate vs material balance time. For shale gas wells with converting production from casing to tubing, as there are abrupt rate and pressure changes at the converting point, the material balance time may be no more monotonically increasing with production time. We proposed the average material balance time method to solve this problem. For this method, we use average material balance time instead of the material balance time in the log-log plot of pressure and pressure derivative. Results shows that severe well-interference cause big disturblance and only data before well-interference is suggested for PDA. Both the PDA with average material balance time and PDA with virtual equivalent time can get much better match of production history and log-log plot of pressure and pressure derivative then the exsiting PDA method.
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含气速率或压力突变的页岩气井生产数据分析
利用速率归一化压力(RNP)和速率归一化压力导数(RNP)进行生产数据分析(PDA),可用于气速和压力恒定或平稳变化的页岩气井的瞬态速率和压力分析。但由于某些原因,生产数据可能发生突变、波动,甚至丢失。现有的PDA方法不能很好地解决这类问题。分析了页岩气产量和压力变化较大的原因。原因包括井间干扰、关井以及将生产从套管转向油管。介绍了中国典型页岩气井案例。提出了三种解决生产数据不平滑问题的方法。对于受邻近压裂井或生产井严重干扰的页岩气井,建议采用干扰前的分段生产数据,因为井干扰就像外界施加的一种正或负的力,这种力只依靠井自身的能量来干扰正常的生产动态。对于频繁关井的井,采用了虚拟等效时间法。该方法首先计算SRV区域内的地层压力分布和平均地层压力;其次,利用平均地层压力计算虚拟等效时间;再次,通过将虚拟等值时间重新排列到实际时间轴上,将整个生产数据划分为几个相互关联的部分,最后利用压力和压力导数与物料平衡时间的对数-对数图进行分析。对于套管转油管的页岩气井,由于转换点存在速率和压力突变,物料平衡时间可能不再随生产时间单调增加。为了解决这一问题,我们提出了平均物料平衡时间法。在这种方法中,我们使用平均物料平衡时间来代替压力和压力导数的对数-对数图中的物料平衡时间。结果表明,严重的井干扰会造成较大的扰动,在PDA中只建议使用井干扰前的数据。基于平均物料平衡时间的PDA和基于虚拟等效时间的PDA都能比现有的PDA得到更好的生产历史和压力及压力导数对数曲线的匹配。
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